6 hours ago
![[Image: TSFc.png]](https://pikky.net/medium/TSFc.png)
Languages: English | File Size: 2.24 GB
Sort thousands of photos by who's in them - automatically. Point it at your unsorted photo library, train it with a few photos per person, and let the AI handle the rest. Weddings, family reunions, years of phone photos - organized in minutes. Powered by Lemwil Vision - our proprietary computer vision engine, trained in-house from the ground up.
- 100% offline - your photos never leave your device
- GPU accelerated - NVIDIA RTX 30, 40, and 50 series
- CPU fallback - works on any Windows PC
- Handles 300,000+ photos without breaking a sweat
- 30+ formats - JPEG, HEIC, RAW, PNG, and more
- Smart features - Auto-Learn, Group Sorting, Duplicate Finder, AI Enhance
Our Story
Face Sorter Pro started with a simple problem - thousands of unsorted family photos and no good way to organize them. Every solution we found was either cloud-based, subscription-locked, or just not accurate enough. So we built our own. What started as a side project turned into a full AI-powered photo sorting engine, trained in-house on our own hardware. No shortcuts. No borrowed AI. Just software that works.
Our Technology
Face Sorter Pro Ultimate is powered by Lemwil Vision - our proprietary computer vision engine. We don't rely on third-party AI models. Every model is designed, trained, and optimized in-house on our own multi-GPU AI server. The result: faster, more accurate face detection built specifically for sorting real-world photo libraries.
SORT THOUSANDS OF PHOTOS IN MINUTES - GPU OR CPU.
Face Sorter Pro Ultimate is the high-performance photo organizer built for serious users, photographers, archivists, and professionals who manage massive libraries (50,000-300,000+ images) - and want results fast.
NOW WITH FULL CPU SUPPORT
No NVIDIA GPU? No problem. The new CPU edition delivers the same features, same accuracy, and same sorting power on any Windows PC. GPU owners get maximum speed with CUDA acceleration. Everyone gets pro-level results. Stress-tested on 304,000+ photos. Zero crashes. Near-zero false positives.
GPU ACCELERATION
Automatically detects and uses your NVIDIA GPU (RTX 3080+ recommended) to sort photos up to 10x faster than CPU tools. Tested and proven on 300,000+ image libraries across RTX 3080, 4090, and 5080 hardware.
CPU MODE
Runs on any Windows PC with no GPU required. Same features, same accuracy - just takes longer on large libraries. Perfect for laptops, office PCs, and non-NVIDIA systems.
TRIPLE VERIFICATION ENGINE - Three layers of AI matching eliminate false positives
- Layer 1: Neural network encoding match (finds candidates)
- Layer 2: Centroid verification (rejects strangers)
- Layer 3: Facial geometry check (catches family member lookalikes)
- This is why accuracy is near-perfect - even on 300K+ libraries.
SMART AUTO-GROUP SORTING (NEW!)
Automatically creates folders for every combination of people found. Alice + Bob photo → "Alice + Bob" folder. Alice alone → "Alice" folder. Your entire library organized in one pass - no duplicates, no manual work.
STRICT GROUP MODE
Find ONLY photos where specific people appear together. Check "Mom + Dad + Baby" → only saves photos with all three present. Perfect for events, holidays, and family albums.
INDIVIDUAL SORT
Each person gets their own complete folder with every photo they appear in.
ULTIMATE CNN + HYBRID DETECTION
The GPU-powered CNN engine finds faces others miss: side profiles, shadows, partial occlusions, and more. The Hybrid Engine blends CNN, HOG, and MediaPipe for superior results on difficult images.
INTELLIGENT AUTO-ROTATE SCAN
Sideways or upside-down photos? The app auto-rotates and re-scans until every face is detected - no manual fixes needed.
KING OF THE HILL (SMART DUPLICATE CLEANER)
When duplicates are found, it keeps the highest-resolution version and moves lower-quality copies to a "Duplicates" folder. Saves space without losing your best shots.
DUPLICATE FINDER MODE
Dedicated mode scans for near-identical images using perceptual hashing, keeps the best version, and organizes the rest.
COPY OR MOVE OPERATION
- Copy Mode: Safely duplicates to organized folders (originals untouched)
- Move Mode: Cleans source drives by relocating files
100% PRIVATE & FULLY LOCAL
No cloud. No uploads. No APIs. No tracking. No internet required. Everything processes on your hardware - your photos never leave your computer.
System Requirements
- GPU Version: NVIDIA GPU with CUDA support (RTX 3080+ recommended for best performance)
- CPU Version: Any Windows 10/11 PC - Intel or AMD, no GPU required
- RAM: 8 GB minimum, 16 GB+ recommended for large libraries
Screen :
![[Image: VSFc.png]](https://pikky.net/VSFc.png)
What's New
Code:
REBUILT ENGINE
Up to 2x faster sorting on GPU (32 → 49 images/sec on RTX 4090 in our tests). New BlazeFace + AuraFace pipeline with FP16 acceleration on Tensor Cores. Same accuracy, way more speed.
PERFORMANCE PRESETS
One-click tuning replaces the old slider clutter. Safe • Balanced • Fast • Beast Mode. The app picks the right worker count, RAM budget, and scan settings automatically - or fine-tune yourself.
CPU MODE IS REAL NOW
Big speed boost on CPU-only laptops and PCs. The classic dlib pipeline now runs at full speed (no more wasted RGB conversions). If you don't have an NVIDIA GPU, this update is for you.
ONEDRIVE / ICLOUD FIX
The infamous "stuck at 98%" hang is fixed. The app now detects cloud-only placeholder files at scan time and skips them with a clear summary instead of trying to download terabytes of photos mid-sort.
AUTO-LEARN (OPT-IN)
Turn it on and the app learns new angles and lighting of your registered people automatically as it sorts. Off by default - you control when it grows. New per-person "Clear Auto" button lets you reset just one person's learned data.
NO MORE SILENT FAILURES
- Big push on "if something goes wrong, you'll know about it"
- Crash-safe diagnostic log captures every sort's full forensic trail
- Per-worker startup log proves GPU is actually being used (no more silent CPU fallback)
- File-write failures now surface with the exact errno + pathHOMEPAGE
Code:
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